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    IMAGE DATA REFORMATTING
    1.
    发明申请
    IMAGE DATA REFORMATTING 审中-公开
    图像数据重构

    公开(公告)号：WO2011128792A3

    公开(公告)日：2012-02-23

    申请号：PCT/IB2011051107

    申请日：2011-03-16

    Applicant: KONINKL PHILIPS ELECTRONICS NV ,  PHILIPS INTELLECTUAL PROPERTY ,  WIEMKER RAFAEL ,  KABUS SVEN ,  KLINDER TOBIAS

    Inventor： WIEMKER RAFAEL ,  KABUS SVEN ,  KLINDER TOBIAS

    IPC: G06T15/08

    CPC classification number: G06T15/08

    Abstract: A method for reformatting image data includes obtaining volumetric image data indicative of an anatomical structure of interest, identifying a surface of interest of the anatomical structure of interest in the volumetric image data, identifying a thickness for a sub- volume of interest of the volumetric image data, shaping the sub-volume of interest such that at least one of its sides follows the surface of interest, and generating, via a processor, a maximum intensity projection (MIP) or direct volume rendering (DVR) based on the identified surface of interest and the shaped sub-volume of interest.

    Abstract translation: 重新格式化图像数据的方法包括：获取表示感兴趣的解剖结构的体积图像数据，识别体积图像数据中感兴趣的解剖结构的感兴趣的表面，识别体积图像感兴趣的亚体积的厚度 数据，使感兴趣的子体积成形，使得其侧面中的至少一个跟随感兴趣的表面，并且经由处理器基于所识别的表面生成最大强度投影（MIP）或直接体绘制（DVR） 兴趣和兴趣的形状子体积。

    IMAGE DATA REFORMATTING
    2.
    发明申请
    IMAGE DATA REFORMATTING 审中-公开
    图像数据重构

    公开(公告)号：WO2011128792A2

    公开(公告)日：2011-10-20

    申请号：PCT/IB2011/051107

    申请日：2011-03-16

    Applicant: KONINKLIJKE PHILIPS ELECTRONICS N.V. ,  PHILIPS INTELLECTUAL PROPERTY & STANDARDS GMBH ,  WIEMKER, Rafael ,  KABUS, Sven ,  KLINDER, Tobias

    Inventor： WIEMKER, Rafael ,  KABUS, Sven ,  KLINDER, Tobias

    IPC: G06T15/08

    CPC classification number: G06T15/08

    Abstract: A method for reformatting image data includes obtaining volumetric image data indicative of an anatomical structure of interest, identifying a surface of interest of the anatomical structure of interest in the volumetric image data, identifying a thickness for a sub- volume of interest of the volumetric image data, shaping the sub-volume of interest such that at least one of its sides follows the surface of interest, and generating, via a processor, a maximum intensity projection (MIP) or direct volume rendering (DVR) based on the identified surface of interest and the shaped sub-volume of interest.

    Abstract translation: 重新格式化图像数据的方法包括：获取表示感兴趣的解剖结构的体积图像数据，识别体积图像数据中感兴趣的解剖结构的感兴趣的表面，识别体积图像感兴趣的亚体积的厚度 数据，使感兴趣的子体积成形，使得其侧面中的至少一个跟随感兴趣的表面，并且经由处理器基于所识别的表面生成最大强度投影（MIP）或直接体绘制（DVR） 兴趣和兴趣的形状子体积。

    CHOOSING ANATOMICAL VARIANT MODEL FOR IMAGE SEGMENTATION
    3.
    发明申请
    CHOOSING ANATOMICAL VARIANT MODEL FOR IMAGE SEGMENTATION 审中-公开
    选择用于图像分割的解剖学变体模型

    公开(公告)号：WO2012035488A1

    公开(公告)日：2012-03-22

    申请号：PCT/IB2011/053991

    申请日：2011-09-13

    Applicant: KONINKLIJKE PHILIPS ELECTRONICS N.V. ,  PHILIPS INTELLECTUAL PROPERTY & STANDARDS GMBH ,  LORENZ, Cristian ,  BARSCHDORF, Hans ,  KLINDER, Tobias ,  HANNA, Raghed

    Inventor： LORENZ, Cristian ,  BARSCHDORF, Hans ,  KLINDER, Tobias ,  HANNA, Raghed

    IPC: G06T7/00

    CPC classification number: G06T7/0012 ,  G06T7/12 ,  G06T7/149 ,  G06T15/08 ,  G06T17/00 ,  G06T2207/30004

    Abstract: The invention relates to a system (100) for segmenting an object in an image, comprising a first adapter (110) for adapting a first model for segmenting the object to the image, an analyzer (115) for extracting a feature from the image based on the adapted first model, a selector (120) for selecting a second model for segmenting the object from a plurality of models for segmenting the object, based on the feature extracted from the image, wherein the second model comprises additional detail of the object, an initializer (125) for initializing the second model based on the adapted first model and/or the feature extracted from the image, and a second adapter (130) for adapting the initialized second model to the image. The features extracted from the image based on the adapted first model help the system (100) to select the second model for segmenting the object from a plurality of models for segmenting the object. The adapted first model and/or the extracted features are also used for initializing the second model. Because the second model comprises the additional detail of the object, the segmentation result using the second model is more complete than the segmentation result obtained using the first model. Moreover, the initialization of the second model based on the adapted first model and/or the detected features improves the accuracy of the second model adaptation.

    Abstract translation: 本发明涉及一种用于分割图像中的对象的系统（100），包括用于适配用于将对象分割成图像的第一模型的第一适配器（110），用于从图像中提取特征的分析器（115） 在适配的第一模型上，基于从图像提取的特征，选择器（120），用于从多个模型中选择用于分割对象的第二模型，用于分割对象，其中第二模型包括对象的附加细节， 用于基于所述适配的第一模型和/或从所述图像提取的特征来初始化所述第二模型的初始化器（125）和用于将所述初始化的第二模型适配到所述图像的第二适配器（130）。 基于适配的第一模型从图像提取的特征帮助系统（100）选择用于从多个模型分割对象的第二模型以分割对象。 适应的第一模型和/或提取的特征也用于初始化第二模型。 因为第二模型包括对象的附加细节，所以使用第二模型的分割结果比使用第一模型获得的分割结果更完整。 此外，基于适应的第一模型和/或检测到的特征的第二模型的初始化提高了第二模型适应的准确性。

    NUCLEAR IMAGE RECONSTRUCTION
    4.
    发明申请
    NUCLEAR IMAGE RECONSTRUCTION 审中-公开
    核图像重建

    公开(公告)号：WO2010084441A1

    公开(公告)日：2010-07-29

    申请号：PCT/IB2010/050189

    申请日：2010-01-15

    Applicant: KONINKLIJKE PHILIPS ELECTRONICS N.V. ,  PHILIPS INTELLECTUAL PROPERTY & STANDARDS GMBH ,  KLINDER, Tobias ,  LORENZ, Cristian ,  KUHN, Michael, H

    Inventor： KLINDER, Tobias ,  LORENZ, Cristian ,  KUHN, Michael, H

    IPC: G06T5/50 ,  G06T7/20 ,  G06T11/00

    CPC classification number: G06T5/50 ,  G06T7/246 ,  G06T11/005 ,  G06T2207/10072 ,  G06T2207/20201 ,  G06T2207/30004 ,  G06T2211/412

    Abstract: A system is provided for obtaining a nuclear image of a moving object. The system comprises an input (14), a processing unit (15) and an output (17). The input (14) is provided for receiving a nuclear image and morphological images of the object. The processing unit (15) is configured to process the morphological images to obtain sparse motion information of the object, to use the sparse motion information and a motion model for obtaining estimated motion information about the object, and to generate a motion- corrected nuclear image based on the estimated motion information and the acquired nuclear image. The output (17) provides the corrected nuclear image.

    Abstract translation: 提供一种用于获得运动物体的核图像的系统。 系统包括输入（14），处理单元（15）和输出（17）。 输入（14）用于接收核图像和对象的形态图像。 处理单元（15）被配置为处理形态图像以获得对象的稀疏运动信息，使用稀疏运动信息和运动模型来获得关于对象的估计的运动信息，并且生成运动校正的核图像 基于估计的运动信息和所获取的核图像。 输出（17）提供校正的核图像。

    MOTION COMPENSATION WITH TISSUE DENSITY RETENTION
    8.
    发明申请
    MOTION COMPENSATION WITH TISSUE DENSITY RETENTION 审中-公开
    运动补偿与组织密度保持

    公开(公告)号：WO2011073818A1

    公开(公告)日：2011-06-23

    申请号：PCT/IB2010/055266

    申请日：2010-11-18

    Applicant: KONINKLIJKE PHILIPS ELECTRONICS N.V. ,  PHILIPS INTELLECTUAL PROPERTY & STANDARDS GMBH ,  KOEHLER, Thomas ,  KLINDER, Tobias ,  KABUS, Sven

    Inventor： KOEHLER, Thomas ,  KLINDER, Tobias ,  KABUS, Sven

    IPC: G06T11/00

    CPC classification number: G06T11/008 ,  G06T2211/412

    Abstract: A method includes reconstructing the projection data based on a reconstruction algorithm that compensates for both motion and tissue density changes of the moving organ across different motion phases, thereby generating motion and density compensated image data. A data compensator includes a reconstructor that reconstructs motion compensated image data based on an reconstruction algorithm that compensates for tissue density changes in a moving object.

    Abstract translation: 一种方法包括基于补偿运动器官在不同运动相位上的运动和组织密度变化的重建算法来重建投影数据，从而产生运动和密度补偿图像数据。 数据补偿器包括重构器，其基于补偿移动物体中的组织密度变化的重建算法来重建运动补偿图像数据。

    MESH COLLISION AVOIDANCE
    9.
    发明申请
    MESH COLLISION AVOIDANCE 审中-公开
    MESH碰撞避免

    公开(公告)号：WO2009125319A3

    公开(公告)日：2010-01-07

    申请号：PCT/IB2009051392

    申请日：2009-04-02

    Applicant: KONINKL PHILIPS ELECTRONICS NV ,  PHILIPS INTELLECTUAL PROPERTY ,  KLINDER TOBIAS ,  WOLZ ROBIN M B ,  FRANZ ASTRID R ,  LORENZ CRISTIAN

    Inventor： KLINDER TOBIAS ,  WOLZ ROBIN M B ,  FRANZ ASTRID R ,  LORENZ CRISTIAN

    IPC: G06T7/00

    CPC classification number: G06T7/0081 ,  G06T7/11 ,  G06T2207/10072 ,  G06T2207/10116 ,  G06T2207/30012

    Abstract: The invention relates to a system(100) for segmenting an object in image data using model-based image segmentation, the system comprising a feature unit (120) for identifying features in the image data for computing an external energy of a mesh on the basis of a current position of the mesh, wherein the feature unit (120) further comprises a candidate feature unit (122) for selecting a plurality of candidate features in the image data, for identifying a feature to be included in the features identified in the image data, a position unit (124) for determining a position of each candidate feature of the plurality of the candidate features relative to a region of the image data, a feature function unit (126) for computing a strength of each candidate feature, wherein the strength of each candidate feature depends on the position of each candidate feature relative to the region, and an evaluation unit (128) for evaluating each candidate feature of the plurality of candidate features and for identifying the feature among the plurality of candidate features based on this evaluation. Determining whether a selected candidate feature is located inside the region which should be avoided, e.g., inside another mesh adapted to another object in the image data, allows penalizing this candidate feature during the computation of the strength of each feature and thus during the evaluation of the plurality of candidate features.

    Abstract translation: 本发明涉及一种用于使用基于模型的图像分割来分割图像数据中的对象的系统（100），该系统包括用于识别图像数据中用于计算网格的外部能量的特征的特征单元（120） 所述特征单元还包括用于选择所述图像数据中的多个候选特征的候选特征单元（122），用于识别要包括在所述图像中标识的特征中的特征 数据，用于确定多个候选特征相对于图像数据的区域的每个候选特征的位置的位置单元（124），用于计算每个候选特征的强度的特征函数单元（126），其中， 每个候选特征的强度取决于每个候选特征相对于该区域的位置，以及评估单元（128），用于评估多个候选特征和fo中的每个候选特征 r基于该评估识别多个候选特征中的特征。 确定所选择的候选特征是否位于应该避免的区域内，例如，在图像数据中适应于另一物体的另一个网格内，允许在计算每个特征的强度期间惩罚该候选特征，并且因此在评估期间 多个候选特征。

    SIMULTANEOUS MODEL-BASED SEGMENTATION OF OBJECTS SATISFYING PRE-DEFINED SPATIAL RELATIONSHIPS
    10.
    发明申请
    SIMULTANEOUS MODEL-BASED SEGMENTATION OF OBJECTS SATISFYING PRE-DEFINED SPATIAL RELATIONSHIPS 审中-公开
    满足预先确定的空间关系的物体同步模型分类

    公开(公告)号：WO2009122338A1

    公开(公告)日：2009-10-08

    申请号：PCT/IB2009/051302

    申请日：2009-03-30

    Applicant: KONINKLIJKE PHILIPS ELECTRONICS N.V. ,  PHILIPS INTELLECTUAL PROPERTY & STANDARDS GMBH ,  FRANZ, Astrid, R. ,  KLINDER, Tobias ,  WOLZ, Robin, M., B. ,  LORENZ, Cristian

    Inventor： FRANZ, Astrid, R. ,  KLINDER, Tobias ,  WOLZ, Robin, M., B. ,  LORENZ, Cristian

    IPC: G06T7/00

    CPC classification number: G06T7/12 ,  G06T7/149 ,  G06T2207/10072 ,  G06T2207/30012

    Abstract: The invention relates to a system (100) for segmenting a plurality of objects in image data using simultaneous model-based image segmentation. A surface mesh is adapted to each object to be segmented. To avoid or reduce the possibility of mesh collision,a plurality of connecting edges for connecting two proximal meshes are used. A connection energy defined for the plurality of connecting edges allows controlling the spatial relationship between the first and second mesh. This is achieved by including in the connection energy expression terms that will increase the connection energy when the lengths of edges of the plurality of connecting edges connecting the first and second mesh decrease. Using the reference configuration of the plurality of connecting edges defined based on the pre- positioned first and second mesh allows taking into account prior knowledge about a typical spatial relationship between the first and second object of the plurality of objects.

    Abstract translation: 本发明涉及一种用于使用同时基于模型的图像分割来分割图像数据中的多个对象的系统（100）。 表面网格适合于要分割的每个对象。 为了避免或减少网格碰撞的可能性，使用用于连接两个近侧网格的多个连接边缘。 为多个连接边限定的连接能量允许控制第一和第二网格之间的空间关系。 这是通过在连接第一和第二网格的多个连接边缘的边缘的长度减小的连接能量表达术语中包括将增加连接能量来实现的。 使用基于预定义的第一和第二网格定义的多个连接边缘的参考构造允许考虑到关于多个对象中的第一和第二对象之间的典型空间关系的先前知识。

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